遗漏值的英文

• missing value

• "遗漏"英文翻译    omit; leave out
• "值"英文翻译    price; value
• "遗漏值, 漏测值" 英文翻译 :    missing value
• "漏测值 遗漏值 欠测值" 英文翻译 :    missingvalue
• "遗漏" 英文翻译 :    omit; leave out 重要遗漏 an important omission; 无意中遗漏这个词 inadvertently omit the word; 你的名单上遗漏了我的名字。 you have omitted my name from your list. 一个逗号都没遗漏。 not a comma was left out.; 遗漏错误 missing error; error of omission; 遗漏码 missing code; 遗漏系数 omission factor
• "漏算；遗漏" 英文翻译 :    omission
• "省去,遗漏" 英文翻译 :    leave out
• "遗漏，略去" 英文翻译 :    leave out
• "遗漏的" 英文翻译 :    omissive
• "遗漏码" 英文翻译 :    missingcode
• "遗漏位" 英文翻译 :    missing bit
• "保护遗漏区" 英文翻译 :    conservation gap
• "错误和遗漏" 英文翻译 :    errors and omissions
• "错误及遗漏" 英文翻译 :    error and omission
• "非法遗漏" 英文翻译 :    illegal omission
• "格丽斯遗漏" 英文翻译 :    glaze pattern skips
• "故障，损失，遗漏" 英文翻译 :    missing
• "规则的遗漏" 英文翻译 :    leakage of rules
• "忽略,遗漏；省略" 英文翻译 :    leave out
• "忽略；遗漏；排除" 英文翻译 :    leave out
• "还是有遗漏" 英文翻译 :    in spite of careful checking there are still omissions
• "记忆体遗漏" 英文翻译 :    memory leak
• "脉冲遗漏" 英文翻译 :    missing pulse
• "内存遗漏" 英文翻译 :    memory leak
• "缺位 遗漏 省略" 英文翻译 :    omission

• Study on processing method of missing values in personalized recommendation systems
  个性化推荐系统中遗漏值处理方法的研究
• To efficiently resolve the problem of missing data in cooperative filter algorithm ( instead of simply using defaults ) , a new approach based on principal component analysis and fuzzy clustering was proposed
  摘要为了高效地解决协同过滤算法中的遗漏值问题，而不是简单地用缺省值加以代替，提出了一种新的、在协同过滤中的遗漏值处理方法。
• The thesis mainly include five parts . fisrt there is a brief introduction of the china ’ s international short - term capital flow since twentieth century 90s ’ ; and define the international short - term capital flow and the hot money from the conception . the first part is a comprehensive narration about the development of the international capital flow theories in contemporary times and
  此外,本文还提出可以从外汇储备、国际收支的净误差与遗漏值、短期外债的增额、外汇占款等几个不同角度对国际短期资本流动的态势进行大致匡算,从而得出自2002年以来有大量的的国际短期资本流入中国的结论。
• The essential idea was that an incomplete data set including missing values was partitioned into several fuzzy clusters by using local principle component with least variance , and through solving the general inverse matrix of the data to obtain the principle components of each sub - clusters , the missing values in clusters could be estimated based on local principal components utilizing a simple linear model
  其基本思想是，先利用具有最小方差的局部主成分，把包含有遗漏值的不完备数据集划分成多个模糊聚类，然后通过求解广义逆矩阵来获得各个子聚类的主成分，最终在局部主成分的基础上通过简单的线性方程模型去佑计聚类中的遗漏值。